Employer Profile

Carlsberg is one of the world’s top three beer companies, founded in 1847 and headquartered in Copenhagen, Denmark. Its portfolio features over 140 brands sold across 150 global markets. Carlsberg China is one of the country’s top five beer companies, operating a production and supply network composed of 27 breweries and a sales network covering provinces and cities nationwide, employing approximately 6,600 people.

Industry: Brewing

Employees: 30,000

Challenge

During the months-long campus recruitment period, Carlsberg needed to process a large number of interview requests. The company faced difficulties in both arranging and conducting interviews, while also dealing with the complexity brought about by diverse job openings:

• Interview Arrangement and Execution: After candidates submit their resumes, interviews must be scheduled immediately to ensure prompt completion. Handling this volume manually is impossible, making an automated and intelligent interview system essential.
• Position Diversity: Campus recruitment involves multiple roles, each with distinct competency requirements. This necessitates different interview questions and assessment criteria for each position. Additionally, for various management trainee programs, strategies and processes must be tailored according to candidates’ willingness to rotate across functions or work in different locations, further increasing the complexity of campus recruitment.

Solution

Carlsberg partnered with MoSeeker to develop an automated AI interview system, streamlining interview scheduling while also building tailored competency models to meet the company’s personalized evaluation needs:

• Automated Interview Workflow: Candidates can complete AI interviews anytime, anywhere. The system assesses candidate performance across multiple dimensions, providing HR with efficient support for talent evaluation.
• Rapid Interview Scheduling: Once a candidate submits their resume, the system automatically creates the interview and sends out invitations, ensuring an efficient and seamless recruitment process.
• Exclusive Competency Models: In addition to generic competency models, the AI interview system creates, trains, and optimizes custom models for different positions, assessing candidates’ abilities from various perspectives.

Impact

The new automated AI interview system quickly and reliably resolved the challenges brought about by the surge in interview demand during campus recruitment season. It also flexibly evaluated different skill sets required for various management trainee positions: 

• During campus recruitment, more than 8,000 candidates received automated interview invitations, eliminating the hassle of scheduling.
• Over a single quarter, the system saved HR more than 78,000 minutes in candidate interviews and assessments—equivalent to around 163 workdays.
• 32% of candidates completed their interviews outside of HR’s regular working hours, greatly improving efficiency and reducing the manual workload.

Danone AI Interview for Large-Scale Campus Recruitment

Danone adopted an automated interview system built on MoSeeker AI Interview, providing 24/7 on-demand interview access and in-depth competency assessment of candidates. The intelligent scheduling system automatically assigns interview tasks, minimizing manual intervention to lift efficiency.